W. Schmitt

The Lancet Oncology · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom W. Schmitt trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Friedrich Leisch (in Artificial Intelligence)

Papers from W. Schmitt's perspective

Ordered by how strongly the researchers W. Schmitt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. FlexMix: A general framework for finite mixture models and latent class regression in R
  2. NCBI GEO: archive for functional genomics data sets—10 years on (Nucleic Acids Res.)
  3. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients (Breast Cancer Research and Treatment)
  4. Reporting recommendations for tumor marker prognostic studies. (Journal of Clinical Oncology)
  5. Categorizing a prognostic variable: review of methods, code for easy implementation and applications to decision-making about cancer treatments. (Statistics in Medicine)
  6. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. (American Journal of Epidemiology)
  7. A gene-expression signature as a predictor of survival in breast cancer. (New England Journal of Medicine)
  8. A New Molecular Predictor of Distant Recurrence in ER-Positive, HER2-Negative Breast Cancer Adds Independent Information to Conventional Clinical Risk Factors (Clinical Cancer Research)
  9. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository (Nucleic Acids Res.)
  10. NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins (Nucleic Acids Res.)

Their papers